Ad-hoc wireless communication network including wearable input/output transducers

ABSTRACT

One or more sensors gather data, one or more processors analyze the data, and one or more indicators notify a user if the data represent an event that requires a response. One or more of the sensors and/or the indicators is a wearable device for wireless communication. Optionally, other components may be vehicle-mounted or deployed on-site. The components form an ad-hoc network enabling users to keep track of each other in challenging environments where traditional communication may be impossible, unreliable, or inadvisable. The sensors, processors, and indicators may be linked and activated manually or they may be linked and activated automatically when they come within a threshold proximity or when a user does a triggering action, such as exiting a vehicle. The processors distinguish extremely urgent events requiring an immediate response from less-urgent events that can wait longer for response, routing and timing the responses accordingly.

RELATED APPLICATIONS

This application claims the benefit of priority from U.S. Non-Prov.patent application Ser. No. 14/669,788 filed 26 Mar. 2015 which isentirely incorporated by reference herein.

FEDERALLY SPONSORED RESEARCH AND DEVELOPMENT

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APPENDICES

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FIELD

Related fields include wearable electronics, and more particularly theformation of temporary ad-hoc communication networks including wearableelectronics.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a conceptual map of an example of an ad-hoc network.

FIG. 2 is a block diagram of an example of an ad-hoc network.

The main components are sensors (input transducers), indicators (outputtransducers), and an intelligent agent that may include hardware,software, or both in a processor or in a group of distributedprocessors. The intelligent agent analyzes the sensor inputs, classifiesthem according to urgency and need for outside data, decides whichindicators need to respond to the sensor inputs and how the signals areto be routed.

“Sensors” is used here is a generic term for all the input transducerstransmitting signals to one or more processors. Sensors include camerasand microphones as well as biometric and environmental sensors. On-bodysensors 202 include wearables (clothing 212 and mounted directly to thebody with adhesive 232), hand-held or carried in backpacks or pocketswhile operating (accessories 222). Off-body sensors 204 may includeanything not worn or carried by a user while operating. Off-body sensorsmay include sensors mounted on a vehicle 214, on equipment are tools notcarried during operation 224, or in some embodiments the sensors worn orcarried by another user 234.

In some embodiments, the incoming information from all the sensors issynchronized in step 242 and recorded to storage in step 244. Therecordings may be transmitted in real-time to a server, or they may bestored for later upload.

The incoming information for all the sensors also goes to theintelligent agent 252, and may be synchronized or not depending on theembodiment. In the intelligent agent 252, a signal recognition engine254 compares the incoming signals with examples of predicted signalsstored in an event/response database 258. If a match is found,intelligent agent 252 infers that the corresponding event has happened.Some embodiments may cross-check numerous sensors to prevent “falsealarm” inferences. To formulate a response to the inferred event, theintelligent agent may use data from teammate/contact database 256, whichmay use the location and type of inferred event, sometimes along withthe identity of the user originate in the sensor signals, to decide whoneeds to be notified of the inferred event; partners, supervisors,medics, etc.

A procedural template database 262 may be included as a reference forany strict, complex, or frequently changed procedures that users mustfollow even in a chaotic environment, such as clean forensic practices,chain-of-custody handling of evidence, or emergency first aid forspecialized situations. Some embodiments of the intelligent agent 252may make use of other internal databases 264; for example, if the usersare SCUBA divers, there may be an internal database 264 to calculate howmuch longer each diver may stay submerged and what kind of decompressionstop, if any, is needed. In some embodiments, the intelligent agent maydry information from external or remote databases 272, such as facialand voice recognition databases and criminal record databases.

If the signal recognition engine 254 infers an event that needs animmediate response, the prescribed command from event/response database258 is sent directly over the local ad-hoc network to the prescribedindicator. The indicators may be visual, such as LEDs or the screens ofsmart watches or heads-up displays; audible, from variable tones torecorded instructions (e.g., from procedural template database 262); ortactile, such as haptic transducers. Like the sensors, there may be agroup of on-body indicators 206 on clothing 216, accessories 226, orattached to the body by adhesive 236. There may also be a group ofoff-body indicators 208 mounted on or in a vehicle 218, tools areequipment 228, or someone else's body 238. In some embodiments, theintelligent agent may use location sensors to determine whether any ofthe users are close enough to make use of an off-body indicator.

FIG. 3 is a flowchart of data handling by a processor connected to anad-hoc network.

FIGS. 4A-B illustrate an example of a holster interlock sensor for anad-hoc network of armed professionals.

FIGS. 5A-K illustrate examples of wearable articles incorporatingsensors or indicators.

FIGS. 6A-D illustrate an example of an ad-hoc network for police work.

FIG. 7 is a flowchart of an example of a procedural-guidance function.

DETAILED DESCRIPTION

A team of workers performing a hazardous, unpredictable task canmitigate some of the risk by leveraging “safety in numbers,” coming tothe aid of any teammate that finds himself or herself in trouble. Beingable to help hinges on knowing what and where the trouble is as soon asit starts. This can be difficult if the teammates are too far apart tosee or hear each other and normal communications (e.g., walkie-talkies,earbuds, cell phones, speaking and listening hardware built intoprotective gear) are not working. The area may be too noisy, or it maylack a repeater or other necessary infrastructure. The trouble may be ofa kind that prevents the victim from communicating clearly: beingovercome by toxic fumes, falling from a crumbling cliff-edge, or beingambushed by enemy combatants. Therefore, a need exists for a way tomonitor teammates' situations in real time without needing to converseover a conventional channel. Such a solution could be applied to war,anti-terrorist action, police and security work, firefighting,toxic-waste cleanup, disaster relief, search and rescue, and similaractivities.

An ad-hoc network including wearable electronics worn on users' bodies,and optionally including other components mounted on vehicles ortemporarily set up at the task site, alerts other on-site (andoptionally off-site) users when any user appears to need backup. Forexample, one or more wearable accelerometers may detect when the wearerfalls or begins running. Wearable heart rate (HR) or galvanic skinresponse (GSR) sensors may detect surprise, strong emotion, or the onsetof exhaustion. Wearable temperature and humidity sensors may warn whenexposure to the environment becomes dangerous. Weapon holster interlocksmay inform other users when any user draws a weapon. Microphones canproduce audio data for voice stress analysis and voice recognition ofusers and other people that the users encounter, or soundscharacteristic of environmental hazards such as flash floods orrockfall. Cameras may collect data for facial recognition or monitoractivity in users' blind spots. If input from multiple sensors isaggregated, synchronized using time-stamps, and recorded, amulti-perspective record of events can be produced.

FIG. 1 is a conceptual map of an example of an ad-hoc network. Policeofficers 102 and 104 are looking for missing hiker 122. At thetrailhead, they park their vehicle 106 and set off on foot. Each of theofficers 102 and 104 has a wearable electronics with capabilitiesincluding transmission T and reception R. Transmission T and reception Rmay use any suitable communication protocol.

Vehicle 106 as capabilities that also include transmission T andreception R; either or both officers 102 and 104 may communicate withthe vehicle at any time. This expands the officers' capabilities whilekeeping their wearables simple, rugged, and lightweight with low powerconsumption, extending battery life and increasing the usefulness ofportable chargers such as solar and hand-cranked chargers. For example,vehicle 106 may be able to relay messages from officers 102 and 104 totheir dispatcher or to other police or park rangers in the area. Thevehicle 106 may contain processors and on-board databases or links todatabases in cloud 110.

Optionally, a communication hub may be brought to the site, or anexisting on-site communication hub may be redeployed as part of thea-hoc network. For example, a portable signal booster 108 may be carriedin and set up if some feature of the terrain, such as the crest of ahill, attenuates communication between the officers 102, 104 and/or thevehicle. In rescue or emergency communication situations where target122 wants to be found, portable signal booster 108 may enable officers102, 104 to reach the mobile phone 124 of target 122, or scan for alocator chip in mobile phone 124, where previously the signals were tooweak because the nearest cellular towers were too far away. Portablesignal booster 108 may also enable the officers' wearables tocommunicate with servers in cloud 110 directly.

Officers 102 and 104 may split up to cover more area, knowing that ifthey encounter threats such as unfriendly animal 114 or human fugitive116, their partner will be notified instantly. In some embodiments, theofficers need not be able to give accurate directions or even to speak,because their wearable transmitters may react to the readings ofstress-level sensors and motion sensors by transmitting a distresssignal after such triggers as a rapid increase in heart rate, a rapidincrease in perspiration, or beginning to run, jump, or fall. Theirwearable receivers' output may include a distance to the source of thedistress signal, a direction from which the stress signal is coming, andthe strength of the distressed person's reaction.

Embodiments of processors in the vehicle 106, the portable signalbooster 108, and in some embodiments integrated with the wearables ofofficers 102, 104, may distinguish urgent messages from non-urgentreceived messages, or messages that require the use of a database fromthose that do not, and route them differently as appropriate. Distresssignals and other urgent messages may be immediately circulated throughthe local ad-hoc network formed between the officers' wearables andoptionally including one or more on-site vehicles and one or moredeployed portable signal boosters. Such messages may simultaneously besent to a dispatcher or to other officers in the area. Non-urgentmessages may be sent to one or more cloud servers for retransmissionwith or without further processing. Optionally, the processor may recordall the incoming signals from the officers' wearable and other equipmentto thoroughly document the operation. Such recordings may be archived onthe fly or after the officers' return.

As well as in search-and-rescue operations, the usefulness of thesead-hoc networks with wearables is readily adaptable to firefighting,criminal apprehension, warfare, disaster relief, mountain or caveexploration, undersea diving, in-habitat study of dangerous animals, andother activities where teams of users may face unpredictable hazardswhile not remaining visible to each other, where conventionalcommunication may be difficult, or we're hazards may emerge too quicklyto rely on conventional communications.

FIG. 2 is a block diagram of an example of an ad-hoc network. The maincomponents are sensors (input transducers), indicators (outputtransducers), and an intelligent agent that may include hardware,software, or both in a processor or in a group of distributedprocessors. The intelligent agent analyzes the sensor inputs, classifiesthem according to urgency and need for outside data, decides whichindicators need to respond to the sensor inputs and how the signals areto be routed. In embodiments, a non-transitory machine-readableinformation storage medium may contain code that, when executed, causesa machine to perform actions that may include to analyze a receivedsignal. In embodiments, if the received signal is a sensor reading, themachine may be caused to compare the sensor reading to a database ofstored sensor readings and corresponding responses and to evaluate anurgency associated with the response, and wherein upon finding a matchto the sensor reading in the database, to transmit the associatedresponse over a local network if the urgency exceeds a threshold or overa conventional network if the urgency does not exceed the threshold.

“Sensors” is used here is a generic term for all the input transducerstransmitting signals to one or more processors. Sensors include camerasand microphones as well as biometric and environmental sensors. On-bodysensors 202 include wearables (clothing 212 and mounted directly to thebody with adhesive 232), hand-held or carried in backpacks or pocketswhile operating (accessories 222). Off-body sensors 204 may includeanything not worn or carried by a user while operating. Off-body sensorsmay include sensors mounted on a vehicle 214, on equipment are tools notcarried during operation 224, or in some embodiments the sensors worn orcarried by another user 234.

In some embodiments, the incoming information from all the sensors issynchronized in step 242 and recorded to storage in step 244. Therecordings may be transmitted in real-time to a server, or they may bestored for later upload.

The incoming information for all the sensors also goes to theintelligent agent 252, and may be synchronized or not depending on theembodiment. In the intelligent agent 252, a signal recognition engine254 compares the incoming signals with examples of predicted signalsstored in an event/response database 258. If a match is found,intelligent agent 252 infers that the corresponding event has happened.Some embodiments may cross-check numerous sensors to prevent “falsealarm” inferences. To formulate a response to the inferred event, theintelligent agent may use data from teammate/contact database 256, whichmay use the location and type of inferred event, sometimes along withthe identity of the user originate in the sensor signals, to decide whoneeds to be notified of the inferred event; partners, supervisors,medics, etc.

A procedural template database 262 may be included as a reference forany strict, complex, or frequently changed procedures that users mustfollow even in a chaotic environment, such as clean forensic practices,chain-of-custody handling of evidence, or emergency first aid forspecialized situations. Some embodiments of the intelligent agent 252may make use of other internal databases 264; for example, if the usersare SCUBA divers, there may be an internal database 264 to calculate howmuch longer each diver may stay submerged and what kind of decompressionstop, if any, is needed. In some embodiments, the intelligent agent maydry information from external or remote databases 272, such as facialand voice recognition databases and criminal record databases.Accordingly, the various databases described above may include a memorysuch as including a machine-readable information storage medium to storethe various types of information as described above.

If the signal recognition engine 254 infers an event that needs animmediate response, the prescribed command from event/response database258 is sent directly over the local ad-hoc network to the prescribedindicator. The indicators may be visual, such as LEDs or the screens ofsmart watches or heads-up displays; audible, from variable tones torecorded instructions (e.g., from procedural template database 262); ortactile, such as haptic transducers. Like the sensors, there may be agroup of on-body indicators 206 on clothing 216, accessories 226, orattached to the body by adhesive 236. There may also be a group ofoff-body indicators 208 mounted on or in a vehicle 218, tools areequipment 228, or someone else's body 238. In some embodiments, theintelligent agent may use location sensors to determine whether any ofthe users are close enough to make use of an off-body indicator.

FIG. 3 is a flowchart of data handling by a processor connected to anad-hoc network. The “on” trigger 302 that starts the system may bemanual and user-operated, or maybe triggered by some action thatindicates that the user is joining an ad-hoc network. For example, apolice vehicle could have an infrared path across the doorway, similarto the obstacle detector that keeps an automatic door from closing ifsomething is in the path. Whenever the police officer left the vehicle,e.g., for a traffic stop, crossing the infrared beam would automaticallyturn on the officer's wearable system and the vehicle system as step304. Alternatively, a proximity sensor in the vehicle could turn on thesystems for step 304 when the officer's body moves out of a certainrange.

Some embodiments with automatic “on” triggers 302 may provide for useroverride 306, which triggers sensor deactivation 308. For example, if apolice officer leaves the vehicle to work on reports at the station ortake a lunch break, it is highly unlikely that the ad-hoc network willbe needed; nor will 2 hours of recorded typing be worth the data storagespace it occupies.

If the sensors are activated and there is no user override, the user'swearable electronics connect to other local devices, any localprocessors, and optionally to a remote processor in step 310. Theprocessors commence monitoring the received sensor signals in step 312.The signals are compared to entries in the local event/reaction database314 and if a match is found at decision 316, the urgency level isevaluated at decision 318. For example, even if the sensors a singlemicrophone, the intelligent agent may analyze the amount of voice stressand infer a degree of urgency from the result. The lowest urgency eventsmay simply be stored to processor later time in step 328. The highesturgency events will immediately activate a local indicator through thead-hoc network, “jumping the queue” to precede or even interruptless-urgent signals. Events of medium urgency (including high-urgencyevents that have already been broadcast over the ad-hoc network, andrequests that involve querying one or more off-site databases) arerelayed to a remote processor, e.g., a cloud-based processor, forprocessing: consulting the database, contacting dispatchers or othernearby officers, or other tasks that present no risks by being sent tothe remote processor.

Not all signals that come two decisions 316 will match events in theevent/response database. Some signals may be data transmitted from aremote processor in step 320, including answers to medium-urgencyqueries. Those signals are relayed to the local indicators in the ad-hocnetwork whenever the system is not occupied by higher-urgency signals.If the signal does not match inferred event and is not data coming froma remote processor, the intelligent agents ignores it and continues tomonitor the sensor signals, in effect looking back to step 312. At anytime, there may be an “off” trigger at decision 330 deactivating thesystem to save power when the ad-hoc network is not needed. Like the“on” trigger, the “off” trigger may be manual or automatic.

FIGS. 4A-B illustrate an example of a holster interlock sensor for anad-hoc network of armed professionals. When a soldier, police officer,or other security specialist draws a weapon during an operation, italmost always signifies an emergency need for backup. If removing aweapon from a holster automatically sends a high-urgency signal over anad-hoc network, the user's allies in the area will be alertedimmediately, even if the user is out of their sight or the environmentis too noisy to hear what the user is saying. In some embodiments,removing the weapon from a holster may activate a wearable camera (e.g.,mounted on a cap or near the neckline of a body-armor vest) to recordwhat the user is seeing and/or a microphone to record what the userhears and says. This an example of sensors temporarily acting asindicators when they are turned on in response to signals from othersensors.

In FIG. 4A, handgun 402 is secured in holster 404. There may be aproximity sensor 414 in holster 404, an accelerometer 412 on handgun402, or both to provide redundancy and reduce the incidence of falsealarms. In FIG. 4B, when handgun 402 is removed from holster 404,accelerometer 412 senses the motion and sends a first signal 422 overthe ad-hoc network. In addition, proximity sensor 414 in holster 404stops sensing handgun 402 nearby and sends a second signal 424 over thead-hoc network.

Although a handgun is the illustrated example, similar sensors could bemounted to nightsticks, stun guns, Tasers(TM), pepper-spray canisters,or other hand-held weapons.

FIGS. 5A-K illustrate examples of wearable articles incorporatingsensors or indicators. Some may have both sensors 502 and indicators504, or multiple sensor or indicator units. For example, an article thatencircles some part of the body such as a watchband, hatband, glove,collar, shoe, or belt may hold a ring of haptic transducers indicating adirection to travel by activating the transducer facing that direction.

In FIG. 5A, sensors 502 and/or indicators 504 may be mounted on theband, bezel, or strap of smart-watch 506. In FIG. 5B, sensors 502 and/orindicators 504 may be mounted on the brim or crown of cap 516. In FIG.5C, sensors 502 and/or indicators 504 may be mounted on the outside orinside of glove 526. In FIG. 5D, sensors 502 and/or indicators 504 maybe mounted on the outside or inside of body-armor 536.

In FIG. 5E, sensors 502 and/or indicators 504 may be mounted on theoutside or inside of work shirt 546. In FIG. 5F, sensors 502 and/orindicators 504 may be mounted on the upper of work boot 556. In FIG. 5G,sensors 502 and/or indicators 504 may be mounted on the strap or buckleof belt 566. In FIG. 5H, sensors 502 and/or indicators 504 may bemounted on the pendant, cord, or clasp of lanyard 576.

In FIG. 5I, sensors 502 and/or indicators 504 may be mounted on theoutside or inside of service-animal collar 586. In FIG. 5J, sensors 502and/or indicators 504 may be mounted on the inward- or outward-facingservices of a removable clip 596.1 and 596.2. In FIG. 5K, sensors 502and/or indicators 504 may be mounted on a removable adhesive patch 598to be worn temporarily on the surface of the skin. The adhesiveembodiment may be convenient for sensors such as galvanic skin response(GSR) that need to maintain contact with the skin on a user in vigorousor nearly constant motion.

FIGS. 6A-D illustrate an example of an ad-hoc network for police work.In FIG. 6A, police officer 602 and partner 604 are patrolling in avehicle 606 with an automatic on-trigger 608 for the officers' wearableelectronics. In FIG. 6B, the officers have detained a suspect vehicle626 carrying a driver 624 and a passenger 622. Officer 602 has exitedfrom vehicle 606, automatically activating her wearable location sensor618.

In FIG. 6C, officer 602 comes to the driver's window of suspect vehicle626 to speak to the driver. In officer 602's blind spot, passenger 622leaves vehicle 626 at a run. Although officer 602 may not have seen it,a camera on police vehicle 606 had an excellent view. The intelligentagent reading the camera signal recognizes the event of the passengerleaving a detained vehicle and immediately send signal 610 over thead-hoc network to or more of officer 602's wearable indicators. Forexample, a warning LED under the brim of the officer's cap mayilluminate; a haptic transducer on the officer's belt facing thedirection of the fleeing passenger may buzz; or a heads-up display builtinto the officers' eyewear may give more detailed information.

In FIG. 6D, the timely-alerted officer 602 chases the suspect passenger622. The ad-hoc network stretches to wherever officer 602 goes. Herlocation sensor 618 allows her partner or other backup to join the chasefrom another direction, and biometric sensors 628 monitor her levels ofstress and exertion as urgency indicators.

FIG. 7 is a flowchart of an example of a procedural-guidance function.Procedural steps can be difficult to remember if the procedure is new,or new to the person executing it; if the procedure is complex, seldomused, or has recently changed. Nevertheless, much can be put at risk byskipping a step of a procedure or doing it wrong. Evidence, or entirecases, may be thrown out of court. A patient may die or be permanentlyinjured. A piece of military machinery may malfunction in battle.Therefore, a need exists to more reliably ensure that procedures aredone correctly.

Ad-hoc networks including wearable sensors and/or indicators that enableprompts for the various stages of a procedure as is being performed. Atstep 702, a sensor detects a procedure trigger. For example, amicrophone may receive a police officer's voice saying the words “You'reunder arrest.” The intelligent agent infers the event of a suspect beingarrested. In step 704, it searches the procedure database (or otherdata-store) 703 for arrest procedures and retrieves the latest (forexample including Miranda warnings). Periodically, step 705 updates thestored procedures. In step 706, the steps of the procedure are visuallydisplayed (or may be audibly recited) to the user executing theprocedure. In some embodiments, the sensors look or listen for cues thata step has been performed (for example, by analyzing a filled-out formthrough a camera. Optionally, the execution of the procedure may berecorded to storage in step 708.

The preceding Description and accompanying Drawings describe examples ofembodiments in some detail to aid understanding. However, the scope ofthe claims may also include equivalents, permutations, and combinationsthat are not explicitly described herein.

We claim:
 1. A non-transitory machine-readable information storagemedium containing code that, when executed, causes a machine to performactions, the actions comprising: to analyze a received signal; if thereceived signal is a sensor reading, to compare the sensor reading to adatabase of stored sensor readings and corresponding responses and toevaluate an urgency associated with the response; after comparison ofthe sensor reading to the stored sensor readings in the database, totransmit an associated response over a local ad-hoc network if theurgency is associated with a first urgency level and to transmit theassociated response to a remote processor for retransmission over aremote network if the urgency is associated with a second urgency level.2. The non-transitory machine-readable information storage medium ofclaim 1, wherein the first and the second urgency levels include atleast one of a low, medium, or high urgency level.
 3. The non-transitorymachine-readable information storage medium of claim 1, wherein theactions further comprise, prior to perform the action of to transmit theassociated response to the local ad-hoc network or to the remoteprocessor, to classify the sensor reading according to a need forexternal data and wherein the remote network includes a cloud-basednetwork.
 4. The non-transitory machine-readable information storagemedium of claim 3, wherein if the sensor reading is classified accordingto a need for external data, the machine is caused to transmit theassociated response to the remote processor.
 5. The non-transitorymachine-readable information storage medium of claim 1, wherein if themachine is caused to transmit the associated response over the localad-hoc network, the machine transmits the associated response to anad-hoc network of wearable electronics worn on users' bodies.
 6. Thenon-transitory machine-readable information storage medium of claim 1,wherein the machine is caused to further perform actions comprisingdetermining whether a visual or audio indicator on a user's body is torespond to a sensor input associated with the sensor reading.
 7. Thenon-transitory machine-readable information storage medium of claim 6,further comprising to receive an additional signal and wherein theadditional signal indicates that a stage of a procedure has beenperformed and based on a stored procedural template, to provide a nextstage of the procedure to the visual or audio indicator on the user'sbody.
 8. A sensor apparatus for routing a response, comprising: an inputtransducer; a processor coupled to the input transducer to: receive asignal from the input transducer; and evaluate an urgency associatedwith the signal; and a transmitter controlled by the processor totransmit an associated response over a local ad-hoc network if theurgency is associated with a first urgency level and to transmit theassociated response to a cloud-based processor for retransmission over aremote network if the urgency is associated with a second urgency level.9. The sensor apparatus of claim 8, wherein the first urgency level andthe second urgency level include at least one of a low, medium, or highurgency level.
 10. The sensor apparatus of claim 8, wherein the inputtransducer includes at least one of a camera, microphone, biometricsensor, and environmental sensor.
 11. The sensor apparatus of claim 10,wherein the sensor apparatus is one of a plurality of sensor apparatusesin the local ad-hoc network and includes a network of wearable on-bodyelectronics including at least one of a smartwatch, hatband, glove,collar, shoe, belt, clothing, eyewear, clip, and gun holster interlocksensor.
 12. The sensor apparatus of claim 8, wherein the sensorapparatus is mounted in a vehicle.
 13. The sensor apparatus of claim 8,wherein the processor is further to receive an additional signal fromthe input transducer, wherein the additional signal is a cue to indicatewhether a first stage of a procedure has been performed.
 14. The sensorapparatus of claim 13, wherein the transmitter is further controlled bythe processor to transmit an indication to the local ad-hoc network orto a remote processor to indicate that the first stage of the procedurehas been performed and the sensor apparatus is ready to receiveinformation related to a next stage of the procedure.
 15. A method,comprising: receiving, by a signal recognition engine, a signal from asensor; comparing, by the signal recognition engine, the received signalwith stored sensor readings in a database to evaluate an urgencyassociated with the received signal; and instructing by the signalrecognition engine, a transmitter to transmit an associated responseover a local ad-hoc network if the urgency is associated with a firsturgency level and to transmit the associated response to a remoteprocessor for retransmission over a remote network if the urgency isassociated with a second urgency level.
 16. The method of claim 15,wherein the local ad-hoc network includes a network including wearableon-body electronic sensors and off-body electronic sensors.
 17. Themethod of claim 15, wherein the remote network includes a cellularnetwork, dispatch network, or other cloud-based network.
 18. The methodof claim 15, wherein retransmission over the remote network includestransmission to a location including a procedural template database forformulation of an additional response to the received signal.